What does AI really cost – and what does it earn?

AI solutions cost money – but less than most people think. An AI phone agent comes with running costs that vary with call volume and complexity; a chat assistant for your website usually sits below that. Both stay within the range of a manageable monthly operating expense. On top of that, there’s a one-time setup and training effort, plus the time you invest yourself.

That sounds like a lot of effort – but relative to the savings, it’s often small. A phone agent, for example, handles 70–85% of incoming calls completely, without you needing to put a person on them. With a corresponding call volume, that quickly relieves an entire part-time position – and the saved personnel costs then usually exceed the running AI costs by a clear margin.

The decisive point: you need to know beforehand what you want to optimize. Wild AI implementations without a concrete benefit are a waste of money.

Where the ROI works – and where it doesn’t

AI pays off for you if:

You have lots of repetitive tasks (answering calls, classifying inquiries, entering data)
Your cost per transaction is high (e.g. support staff handling simple questions)
You have time bottlenecks (at night, on weekends, at peak times)
Your data quality is good (AI needs clean data, otherwise nothing works)

Concretely: a trade business with around 50 calls per week that has been answering every single one manually typically recoups the investment in a phone agent within a few months – after that, the solution works for them.

AI does NOT make sense if:

Your processes are too complex and individual (e.g. legal advice with many special cases)
You have only little data (under 100 transactions per month)
The manual process already runs perfectly (with only a 2–3% error rate)
Your customers need personal, emotional care (rather than information)

A B2B company with four employees and two customer inquiries a day? Here a chat assistant is overkill and costs you more than you save.

How to calculate realistic numbers

Take 30 minutes and write down:

How many tasks can be automated per week?
How long does each take manually (in minutes)?
What does an hour of staff time cost you (including overhead)?
How long is the implementation time (weeks)?

An example calculation: 40 standard customer calls per week at 5 minutes each comes to about 3.3 hours of working time – every week, all year long. Multiply those hours by your internal hourly rate (including overhead) and subtract the running AI costs. In the vast majority of cases, a substantial annual saving remains – and that doesn’t even count the time your team spends on more valuable work instead.

But also work with realistic success rates: no AI system resolves 100% of cases. 70–80% is very good.

My takeaway

AI is not a marketing gimmick. It’s a tool for concrete problems. The ROI is real if you solve the right problems and do the math beforehand.

What matters: realistic expectations, good preparation, and the right solution for the specific problem. A cheap off-the-shelf all-in-one AI won’t help you if what you actually need is a professionally configured phone agent.

If you’re unsure whether AI makes sense for you: get in touch. I’ll analyze your processes free of charge and tell you honestly whether it’s a fit – or whether you should save your money.